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Toward an intentional model aware of learner cognitive traits for pedagogical process guidance

Overview of attention for article published in Smart Learning Environments, March 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
34 Mendeley
Title
Toward an intentional model aware of learner cognitive traits for pedagogical process guidance
Published in
Smart Learning Environments, March 2023
DOI 10.1186/s40561-023-00245-x
Authors

Walid Bayounes, Ines Bayoudh Saâdi, Kinshuk

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 4 12%
Student > Ph. D. Student 3 9%
Unspecified 3 9%
Lecturer > Senior Lecturer 2 6%
Student > Master 1 3%
Other 5 15%
Unknown 16 47%
Readers by discipline Count As %
Computer Science 5 15%
Unspecified 4 12%
Psychology 2 6%
Business, Management and Accounting 2 6%
Social Sciences 2 6%
Other 2 6%
Unknown 17 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 March 2023.
All research outputs
#14,198,036
of 23,539,593 outputs
Outputs from Smart Learning Environments
#100
of 190 outputs
Outputs of similar age
#147,593
of 345,040 outputs
Outputs of similar age from Smart Learning Environments
#4
of 13 outputs
Altmetric has tracked 23,539,593 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 190 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 345,040 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.